Abstract Multiple Classifier Systems (MCS) have been widely studied as an alternative for
increasing accuracy in pattern recognition. One of the most promising MCS approaches is …

In matters of great importance that have financial, medical, social, or other implications, we
often seek a second opinion before making a decision, sometimes a third, and sometimes …

The deterioration in profitability of listed companies not only threatens the interests of the
enterprise and internal staff, but also makes investors face significant financial loss. It is …

Over the last couple of decades, multiple classifier systems, also called ensemble systems
have enjoyed growing attention within the computational intelligence and machine learning …

A unified, coherent treatment of current classifier ensemble methods, from fundamentals of
pattern recognition to ensemble feature selection, now in its second edition The art and …

This paper presents a new approach to improve the performance of finger-vein identification
systems presented in the literature. The proposed system simultaneously acquires the finger …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

Scene recognition plays an important role in the task of visual information retrieval,
segmentation and image/video understanding. Traditional approaches for scene recognition …

The importance of automatically recognizing emotions from human speech has grown with
the increasing role of spoken language interfaces in human-computer interaction …

Unimodal biometric systems have to contend with a variety of problems such as noisy data,
intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and …